Where Patient Voice
Meets Clinical Evidence
TripSit is built on two decades of evidence-based medicine methodology. Our forms look simple. What runs beneath them is not.
Five Analytical Capabilities.
One Unified Framework.
TripSit's analytical engine is built on five distinct capabilities, all grounded in the PICO evidence framework (Population, Intervention, Comparison, Outcome): the gold standard in evidence-based medicine. Our forms look simple. The methodology beneath them is not.
TADI Framework
The organizing principle behind every TripSit analysis. TADI governs how data flows from raw sources through analytical pipelines into deliverables that life science professionals can trust, act on, and defend. Developed over 20 years of deep work in therapeutic area competitive intelligence.
Neutral Landscape Analysis
A comprehensive, unbiased map of the treatment landscape for any disease state: all approved therapies, pipeline candidates, clinical practice guidelines, unmet needs, and competitive dynamics. No thumb on the scale. Evidence drives the story.
Standard of Care Analysis
Every analysis is benchmarked against published clinical practice guidelines and consensus standards from major specialty societies. TripSit identifies where a therapy aligns with, exceeds, or deviates from the standard of care, with specific recommendation strength and evidence grade.
Equivalency and Superiority
Automatic classification of competitive positioning based on published clinical trial data: Superior, Differentiated, Neutral, or Head-to-Head. Every classification is traceable to a specific NCT number, effect size, confidence interval, and p-value. No subjective claims. Evidence-derived positioning only.
Indication Parsing
A drug's competitive position can differ dramatically across its approved indications. TripSit parses evidence at the indication level, not just the molecule level, ensuring that positioning claims are accurate for the specific patient population and disease context under analysis.
PICO Foundation
Every TripSit analysis begins by formulating the clinical question in PICO format: the gold standard framework in evidence-based medicine. PICO is not an afterthought. It is the foundation on which all five analytical capabilities are constructed. The platform automatically resolves PICO components from the drug and indication entered, ensuring every analysis is structured, reproducible, and aligned with the specific clinical scenario.
Two Paths, One Truth
No other platform does this. TripSit runs two completely independent analytical pipelines before convergence, then cross-walks them with the same rigor applied to peer-reviewed clinical data.
The Lived Experience
Draws on patient forums, caregiver perspectives, patient-reported outcome (PRO) studies, real-world evidence, and social channel monitoring. Surfaces unmet needs, treatment burden, adherence patterns, and the language patients actually use to describe their conditions.
This is not sentiment analysis. It is structured extraction of tacit knowledge from patient experience, validated and organized with the same methodological rigor applied to clinical data.
Where the two pathways converge, diverge, and reveal strategic gaps. The intelligence that no single-pathway platform can produce.
The Clinical Evidence
Draws on peer-reviewed literature via PubMed, clinical trial registrations via ClinicalTrials.gov, regulatory labels via FDA DailyMed, congress abstracts, and mechanism-of-action data. Surfaces efficacy endpoints, safety profiles, competitive positioning, and evidence gaps.
This is not a literature search. It is structured analysis of the clinical evidence landscape, organized by indication, comparator, endpoint, and evidence strength.
The two pathways run completely independently: Patient First never sees Science First data during generation, and vice versa. This ensures uncontaminated findings from each perspective. The convergence happens afterward in the Diff Report, where TripSit identifies where the two perspectives align, where they diverge, and where the gaps create strategic opportunities. A drug may show statistical superiority on a primary endpoint while patients are abandoning it due to injection site reactions. A therapy may produce transformative quality-of-life improvements invisible in trial data because the trial did not measure them. Two Paths, One Truth is the only way to see both.
Four Report Components
Every TripSit project generates four core intelligence reports, each serving a distinct analytical purpose.
Patient First / Science First
Dual-pathway analysis: Patient First surfaces real-world patient narratives and unmet needs from patient forums, PRO studies, and social listening. Science First delivers clinical evidence synthesis from PubMed, DailyMed, and ClinicalTrials.gov. Together they produce high-confidence convergence insights grounded in both tacit patient experience and peer-reviewed published data.
Stakeholder Challenges
Maps key stakeholder groups — payers, providers, patients, regulators — and identifies the specific challenges each faces related to your drug and therapeutic area. Designed to inform medical education, access strategy, and brand positioning simultaneously.
Compare
Head-to-head drug comparison against selected competitors: efficacy endpoints, safety profiles, and positioning analysis grounded in published evidence. Every comparison is structured on the PICO framework and classified by superiority category.
Diff Report
TripSit's signature output. Systematic comparison of Patient First and Science First findings, identifying convergence points, divergence points, and strategic gaps. Where patient experience aligns with clinical data, the brand narrative is reinforced. Where they diverge, hidden intelligence is revealed.
Meets You Where You Are
The same evidence tells a different story for each function. TripSit's Ask engine delivers intelligence briefings framed through 10 distinct professional lenses. Select a tile, ask your question, and receive an eloquent briefing calibrated to your role, your KPIs, and your stakeholders. Every claim includes an inline citation traceable to its exact source.
Core functional perspectives for day-to-day work
Broader strategic and personalized views
A special tile that lets you select a specific indication, choose a competitor for comparison, and generate payer appeal letters grounded in your project's evidence. This is where TripSit's intelligence connects directly to patient access outcomes.
Your personal intelligence lens. Build your Professional Profile: role, KPIs, deliverables, therapeutic focus, stakeholders. The Me tile delivers intelligence calibrated specifically to your world. The same data. Your story.
Evidence-Based Appeal Letter Generation
WeHealth™ is not a health literacy product. It is a professional appeal letter generation engine, deployed by portal hub services on behalf of physicians and patients to overturn insurance denials of coverage.
WeHealth™ letters draw on the Patient First pathway's structured extraction of patient experience. This is not individual patient data. It is the validated, evidence-grounded framework built from the lived experience of disease, cross-walked to clinical science.
Every citation in a WeHealth™ letter is fetched from PubMed, FDA DailyMed, or ClinicalTrials.gov via direct API before a single word is written. 20 to 30 independently verifiable citations per letter. Zero tolerance for fabricated or synthetic citations, enforced architecturally.
Every letter is constructed using CASCADE™: a proprietary seven-dimensional analytical framework that attacks insurance denials from every clinical, regulatory, and legal angle simultaneously. The result reads as though written by a team of clinical pharmacologists, medical affairs specialists, and healthcare attorneys working in concert.
When an event happens, you get the impact. Fast.
A competitor launches. A guideline updates. A clinical trial reports. TripSit's evidence pipeline fires automatically, delivering the updated intelligence briefing before your next meeting. Well-disciplined AI and evidence-based medicine methodology, working at the speed your team needs.
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Well-disciplined AI and evidence-based medicine methodology. Built for life science professionals who cannot afford to be wrong.
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